Every vendor pitch in enterprise technology follows the same arc. You’re shown more dashboards, more integrations, more AI-generated insight, and more capabilities. We have spent decades training ourselves, as an industry and as buyers, to equate innovation with addition. The proposal with the longer feature list wins the evaluation.
Then a system actually fails, and none of that matters. Between October and November 2025, three of the internet’s most trusted infrastructure providers went down in quick succession. Enterprises experienced outages from AWS, Microsoft Azure, and Cloudflare within the same stretch of weeks. These came after a major Google Cloud outage in June 2025. Almost every incident rippled far beyond each hyperscaler’s own customer base into banks, airlines, retailers, and everyday consumer apps. None of that was the work of a brilliant adversary. They traced back to small, everyday technical changes, a DNS record, a routing rule scoped too broadly, or a permissions change cascading further than any engineer expected.
The feature trap
When a system goes down for a reason this mundane, nobody in the incident room is asking which vendor has the richer feature set. They are asking only three questions. Where does our data actually live right now? How fast can we get it back? What recovers on its own, without a human making a judgment call at 3 AM? If your team cannot answer those three questions in under a minute, you have a complexity problem.
Somewhere along the way, enterprise IT decided that ‘more’ was a proxy for ‘better.’ While some complexity is unavoidable in regulated industries and globally distributed environments, the average organisation now runs around 83 different security tools from 29 vendors. Each is bought for a legitimate reason like a new threat, a compliance clause, or something else. The result is a larger set of consoles, credentials, alerts, dependencies, and hand-offs that must all work together when the organisation is under maximum pressure.
A fact easily ignored is that complexity becomes rarely visible during normal operations. This is because people quietly compensate for it. An experienced administrator remembers which backup job is unreliable and a cloud engineer knows which dependency must be restarted first. Likewise, a security analyst knows which alert can or cannot be ignored. These informal workarounds keep the system moving. The moment the right person is unavailable, or several failures occur at once, the organisation discovers how much of its continuity plan existed only inside individual heads.
What actually happens when systems break?
Enterprise downtime today runs roughly between $14,000 and $23,750 a minute depending on organisation size, and the largest global enterprises collectively lose hundreds of billions of dollars a year to unplanned outages. That number does not care whether the root cause was a misconfigured setting or a nation-state attacker. In fact, the uncomfortable truth most technology conversations avoid is that the threat is rarely exotic. Most cloud outages trace back to human error rather than sophisticated cyberattacks
Oddly enough, nobody writes a case study about the failover that worked exactly as designed. The backup that was restored on schedule does not make headlines. That is precisely the point. Netflix has spent over a decade running Chaos Monkey, a tool that deliberately kills production servers at random, for no reason other than to make failure routine and boring long before it happens for real. Rather than preventing failures, its goal is to make failures unremarkable.
IT continuity should aspire to the same reputation. Dependable infrastructure does not need to impress anyone mid-incident. It needs to do the same three things, in the same order, every time. Firstly, know where the data is. Then, restore it within a committed window. And, wherever possible, fail over automatically. If your resilience plan does anything else, such as creating a war room or getting three vendors on a bridge call, your systems are most likely running on hope.
The mandate for business leaders
The next time a vendor pitches you on a longer feature list, ask a different question instead: if this system failed at two in the morning on a Sunday, could a duty engineer answer our three questions without waking anyone else up? Audit your stack for sprawl before you audit it for gaps. Every tool whose purpose you cannot explain in one sentence is a seam that an attacker, or an ordinary outage, will eventually find. Demand a tested Recovery Time Objective from every system that matters, not a marketing promise but a number your team has rehearsed against. And treat automatic failover as the default for anything that touches revenue or customer data, not a premium add-on.
Confidence under stress is not built in the moment of crisis. It is built quietly, unglamorously, in every renewal decision that chooses clarity over complexity. That is what dependable IT actually means. In a year when the next outage is no longer a possibility but a forecast, it is the only feature that will matter when it counts.
The article has been written by Sekar Vembu, Founder and CEO, Vembu Technologies
